Triple

T1354530
Position Surface form Disambiguated ID Type / Status
Subject Nayarit E28956 entity
Predicate contains P35 FINISHED
Object Rosamorada
Rosamorada is a municipality and town in the Mexican state of Nayarit, known for its agricultural activities and rural communities.
E156122 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Rosamorada | Statement: [Nayarit, contains, Rosamorada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosamorada
Context triple: [Nayarit, contains, Rosamorada]
  • A. Violet
    Violet is a small, typically purple-flowered plant commonly found in temperate regions and widely recognized as a symbol of modesty and springtime.
  • B. Violeta
    Violeta is a novel by Chilean author Isabel Allende that follows the tumultuous, century-long life of a woman born during the 1918 Spanish flu pandemic.
  • C. Rosa
    Rosa is a genus of flowering plants known for its ornamental roses, prized worldwide for their beauty, fragrance, and cultural symbolism.
  • D. Crimson
    Crimson is the collective name for Harvard University's varsity athletic teams competing in collegiate sports.
  • E. Velvet Brown
    Velvet Brown is the determined young English girl who dreams of racing her beloved horse to victory in the classic novel and film "National Velvet."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rosamorada
Triple: [Nayarit, contains, Rosamorada]
Generated description
Rosamorada is a municipality and town in the Mexican state of Nayarit, known for its agricultural activities and rural communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rosamorada
Target entity description: Rosamorada is a municipality and town in the Mexican state of Nayarit, known for its agricultural activities and rural communities.
  • A. Violet
    Violet is a small, typically purple-flowered plant commonly found in temperate regions and widely recognized as a symbol of modesty and springtime.
  • B. Violeta
    Violeta is a novel by Chilean author Isabel Allende that follows the tumultuous, century-long life of a woman born during the 1918 Spanish flu pandemic.
  • C. Rosa
    Rosa is a genus of flowering plants known for its ornamental roses, prized worldwide for their beauty, fragrance, and cultural symbolism.
  • D. Crimson
    Crimson is the collective name for Harvard University's varsity athletic teams competing in collegiate sports.
  • E. Velvet Brown
    Velvet Brown is the determined young English girl who dreams of racing her beloved horse to victory in the classic novel and film "National Velvet."
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c28afc848190925d8b2f9aeac12d completed March 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce6bf6188190a0e1c8acd16b8088 completed March 8, 2026, 1:18 a.m.
NEDg Description generation batch_69accf47541481909f2032cdf8e4272b completed March 8, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_69accff8af488190a7580cf7c02ceed9 completed March 8, 2026, 1:25 a.m.
Created at: March 1, 2026, 7:56 p.m.